The International Academy for the Study of Tourism convened a session on global economic crisis and tourism during its 20th anniversary conference in Mallorca, Spain, June 2009. Three articles featuring impacts downturn Asia Pacific, Europe, North America have resulted appeared this issue Journal Travel Research. This summary aims at an integrated discussion consequences perspectives tourism. prospects world years to come are also reflected.

For some countries, favourable climatic conditions for tourism are often associated with infectious diseases, the ensuing development constraints on tourist sectors of impoverished countries where tourism's economic contribution has a high potential. This paper evaluates implications eradication Malaria, Dengue, Yellow Fever and Ebola affected destination focusing expenditures. A gravity model international flows is used to provide an estimation impact each travel-related disease arrivals....

Considerable attention has been given in the economic literature to Dutch disease, with symptoms of disease being extensively described many different contexts. is a condition which describes reaction an economy, subject rapid change, on finding new export uses for natural resources. None studies, however, focused tourist industry as source increased wealth through exploitation resources, such beaches or areas, using typical mass models tourism development. By examining two Spanish regions,...

This article investigates the effects of security threats, namely terrorism, crime, and corruption, on international tourist flows. We estimate a gravity model to evaluate differences in instability measures between country pairs quantifying not only how threats host have negative effect inbound tourism but also conditions origin determine flows particular destination. Results show that tourists prefer traveling countries with similar levels safety as exist their country. Moreover, an...

Abstract Tourism demand and its determining factors have been extensively explored over the past decades. Traditionally, study of tourism modeling had focused on use time series models forecasting. Nonetheless, during last years literature has revived approach gravity models, centered structural dimension as opposed to dynamic factors. This survey aims provide a useful overview detailed information that discipline existing help future researchers about this field. To do so, reviews 143 key...

Summary Religious beliefs influence many aspects of daily life. It is therefore plausible to argue that these affect some our most central endeavors, such as trade, migration, foreign investment and travel. This paper investigates the role a country's religious affiliation plays in destination choice for international tourism flows. To end, gravity model tourist arrivals estimated by using large dataset 164 countries period 1995–2010. Results provide evidence similarity have significant...

In empirical research, aggregate tourist arrivals and expenditures are often indistinctly used as measures of tourism demand, depending on the aim analysis or, simply, availability data. However, when a literature review was conducted, we found differences in estimated elasticities, accordingly to measure that used. This article investigates these two measures, exploring theoretical link between them context demand modelling at destination level. Having established connection variables with...

This article applies a combination of diffusion model and traditional tourism demand for visitor estimation. The assumes that information is transmitted to society’s potential consumers through various different channels. suggests, however, tourism, according economic theory, depends mainly on fares, income, exchange rates, dummy variables. Using data tourists the Balearic Islands, we found evidence individuals undergo prior process acquiring before deciding visit particular destination.

This paper investigates the possibility of improving predictive ability a tourism demand model with meteorological explanatory variables. The authors use as case study monthly British for Balearic Islands (Spain). For this purpose, transfer function and causal artificial neural network are fitted. results compared those obtained by non-causal methods: an ARIMA autoregressive network. indicate that incorporating variables can increase power, although most accurate prediction is using – specifically,